The Cochrane Colloquium 2023 gathering in London brought together healthcare professionals, researchers, and experts worldwide. The theme for this event was "Forward together for trusted evidence," and it provided a platform to delve into the critical issue of ensuring healthcare data and information trustworthiness in the future of healthcare.
Our team attended the event from September 4th to 6th, 2023, at the Queen Elizabeth II (QEII) Centre in London. We were thrilled by the many thought-provoking discussions and the new connections that we made.

Exploring Trustworthiness in Healthcare Data
Evidence Prime commends the theme for this year's event. Trust is paramount in today's rapidly evolving healthcare landscape, where information and misinformation are abundant. As an AI software tool that aids the process of completing systematic reviews, trust is a crucial foundation that we build on. The future of AI in healthcare is exciting and inspiring, but not without its concerns, and we wanted to be at the forefront of groundbreaking thoughts and discussions around data security and trustworthiness in evidence-based healthcare.
The Cochrane Colloquium 2023 event addressed several of these challenges head-on, fostering a deeper understanding of how we can ensure the reliability and credibility of healthcare evidence.
Particular presentations stood out to us from the event that we wanted to share:
- The Norwegian Institute of Public Health gave a compelling talk on "Building Acceptance for Machine Learning in Study Selection within a Systematic Review Institution." The speakers, Heather Ames, Patricia Sofia Jacobsen Jardim, and Christine Hestevik, shared their practical experiences implementing machine learning and automation, focusing on crucial aspects such as building trust and effective training. Their presentation offered a unique perspective, highlighting the overlooked human factor in technology and emphasizing the critical elements required to integrate new technology successfully within an organization.
- Rocío Fuentes, representing Universidad de La Frontera, tackled the subject of "Rapid Reviews and Their Alignment with Cochrane Recommendations for Reliable Evidence." During the COVID-19 pandemic, the surge in rapid reviews (RRs) emerged as a rapid-response approach to pressing issues. RRs, which simplify or omit specific steps from systematic reviews, were examined for their adherence to Cochrane's recommendations. In the presentation, Fuentes analyzed published RRs, and it turns out that they were not following the guidance set out by Cochrane.
- "Integrating Machine Learning into a Living Systematic Review of Baseline Risks for Venous Thromboembolism Complications in Hospitalized COVID-19 Patients" was an insightful presentation by Tamara Lotfi, representing McMaster University. The talk emphasized the efficiency and relevance of combining manual and machine learning-driven screening into living systematic reviews for prognostic studies, offering valuable insights for enhancing research methodologies.
- Elie Akl and Joanne Khabsa from the American University of Beirut each had separate presentations that discussed the development of "Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Extension for Living Systematic Reviews (LSRs)" and the "Conceptualizing the Reporting of Living Systematic Reviews." The discussions emphasized the unique challenges in:
Reporting LSRs,
The need for standardized reporting and
They highlighted the efforts to extend PRISMA 2020 for LSRs.
These presentations underscored the importance of transparent and timely reporting, addressing the evolving nature of evidence synthesis.

A Glimpse into the Future
We were proud to be attendees and actively contribute to a brighter future for healthcare. The event reinforced the importance of forging ahead together to ensure that the evidence we rely on is trustworthy and reliable. We are excited to take the lessons learned and the connections made at the Colloquium back to our respective roles, where we will continue to advance the cause of evidence-based healthcare.

